for issues related to linear regression modelling approach
Does anyone know of an efficient way to do multiple linear regression in C#, where the number of simultaneous equations …
c# .net linear-regressionI have the following R code library(forecast) value <- c(1.2, 1.7, 1.6, 1.2, 1.6, 1.3, 1.5, 1.9, 5.4, 4.2, 5.5, 6, 5.6, 6.2, 6.8, 7.1, 7.1, 5.8, 0, 5.2, 4.6, 3.6, 3, 3.8, 3.1, 3.4, 2, 3.1, 3.2, 1.6, 0.6, 3.3, 4.9, 6.5, 5.3, 3.5, 5.3, 7.2, 7.4, 7.3, 7.2, 4, 6.1, 4.3, 4, 2.4, 0.4, 2.4) sensor<-ts(value,frequency=24) fit <- …
r time-series regression linear-regression forecastingI've the training data set like this: 0.00479616 | 0.0119904 | 0.00483092 | 0.0120773 | 1 0.51213136 | 0.0113404 | 0.02383092 | -0.012073 | 0 0.10479096 | -0.011704 | -0.0453692 | 0.0350773 | 0 The first 4 columns is features of one sample and the …
python machine-learning scikit-learn linear-regression logisticsIf I have independent variables [x1, x2, x3] If I fit linear regression in sklearn it will give me something …
python scikit-learn regression linear-regressionwhat is the benefit of using Gradient Descent in the linear regression space? looks like the we can solve the …
machine-learning linear-regression gradient-descentI have a set of data. I have use pandas to convert them in a dummy and categorical variables respectively. …
python pandas linear-regression statsmodels dummy-variableI don't quite understand what the p-value in this output means. I don't mean p-values as such, but in this …
r regression linear-regression anovaThe OLSResults of df2 = pd.read_csv("MultipleRegression.csv") X = df2[['Distance', 'CarrierNum', 'Day', 'DayOfBooking']] Y = df2['Price'] X = add_…
python linear-regression statsmodelsI am wondering if there is a better way to test if two variables are cointegrated than the following method: …
python pandas linear-regressionI am trying to use Ordinary Least Squares for multivariable regression. But it says that there is no attribute 'OLS' …
python machine-learning linear-regression statsmodels